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      SQL-like Language for Database Mining

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      Proceedings of the First East-European Symposium on Advances in Databases and Information Systems (ADBIS)

      Advances in Databases and Information Systems

      2-5 September 1997

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          Abstract

          Datamining, also referred to as databasemining or knowledge discovery in databases ( KDD), is a new research area that aims at the discovery of useful information from large datasets. One of the most interesting and important research problems is discovering of different types of rules (e.g. association, characteristic, discriminant, etc.) from data.

          In this work we propose the new SQL-like language for datamining in relational databases, called Mine SQL, developed within the scope of the data mining research project led in Poznan University of Technology. MineSQL is the extension of industry standard SQL language developed for expressing rule queries and assisting a user in rule generation, storage and retrieval. We focus on the main features of the language, its syntax and semantics, illustrated by practical examples.

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          Most cited references 3

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          Mining association rules between sets of items in large databases

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            The KDD process for extracting useful knowledge from volumes of data

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              Database mining: a performance perspective

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                Author and article information

                Conference
                September 1997
                September 1997
                : 1-13
                Affiliations
                Institute of Computing Science, Poznań University of Technology

                Poznań, Poland
                Article
                10.14236/ewic/ADBIS1997.30
                © Maciej Zakrzewicz et al. Published by BCS Learning and Development Ltd. Proceedings of the First East-European Symposium on Advances in Databases and Information Systems, (ADBIS'97), St Petersburg

                This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                Proceedings of the First East-European Symposium on Advances in Databases and Information Systems
                ADBIS
                1
                St Petersburg
                2-5 September 1997
                Electronic Workshops in Computing (eWiC)
                Advances in Databases and Information Systems
                Product
                Product Information: 1477-9358BCS Learning & Development
                Self URI (journal page): https://ewic.bcs.org/
                Categories
                Electronic Workshops in Computing

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